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Benchmark RGB-D Gait Datasets: A Systematic Review

Title
Benchmark RGB-D Gait Datasets: A Systematic Review
Type
Chapter or Part of a Book
Year
2019-10
Authors
João Ferreira Nunes
(Author)
Other
Pedro Miguel Moreira
(Author)
Other
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João Manuel R. S. Tavares
(Author)
FEUP
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Publicação em ISI Proceedings ISI Proceedings
Scientific classification
CORDIS: Technological sciences
FOS: Medical and Health sciences
Other information
Authenticus ID: P-00R-5AX
Resumo (PT):
Abstract (EN): Human motion analysis has proven to be a great source of information for a wide range of applications. Several approaches for a detailed and accurate motion analysis have been proposed in the literature, as well as an almost proportional number of dedicated datasets. The relatively recent arrival of depth sensors contributed to an increasing interest in this research area and also to the emergence of a new type of motion datasets. This work focuses on a systematic review of publicly available depth-based datasets, encompassing human gait data which is used for person recognition and/or classification purposes. We have conducted this systematic review using the Scopus database. The herein presented survey, which to the best of our knowledge is the first one dedicated to this type of datasets, is intended to inform and aid researchers on the selection of the most suitable datasets to develop, test and compare their algorithms. © Springer Nature Switzerland AG 2019.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 7
Documents
File name Description Size
VipIMAGE2019pp366-372 Paper Draft 212.87 KB
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